Events
Nov 4 - Oct 29, 2023
Oct 28 - Oct 22, 2023
Oct 21 - Oct 15, 2023
Latent Gaussian Spatial Modelling with Change of Support
Erick Chacon Montalvan, Postdoctoral fellow, Statistics Geohealth Group, KAUST
B9 L2 H2
Oct 14 - Oct 8, 2023
Oct 7 - Oct 1, 2023
Sep 30 - Sep 24, 2023
Sep 23 - Sep 17, 2023
Sep 16 - Sep 10, 2023
Sep 9 - Sep 3, 2023
Sep 2 - Aug 27, 2023
Jun 10 - Jun 4, 2023
Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence
Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA
B1 L4 R4102
Jun 3 - May 28, 2023
May 13 - May 7, 2023
New Graphical Displays for Classification
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
B9 L2 H2
Detecting Cellwise Outliers in Your Data
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
B9 L2 H2
May 6 - Apr 30, 2023
Apr 8 - Apr 2, 2023
Apr 1 - Mar 26, 2023
Mar 18 - Mar 12, 2023
On Inference About the Smoothness Parameter in Gaussian Matern Random Fields
Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business
B1 L4 R4102
Mar 11 - Mar 5, 2023
Bayesian Deep Learning
Maurizio Filippone, Associate Professor, EURECOM, France
B9 L3 R3128
Mar 4 - Feb 26, 2023
Extremes of stationary time-series - 2023-02-09
Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh
B1 L4 R4102
Extremes of stationary time-series - 2023-02-27
Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh
B1 L4 R4102
Feb 18 - Feb 12, 2023
Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health
Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy
B1 L4 R4102
Feb 11 - Feb 5, 2023
Feb 4 - Jan 29, 2023
Driving Innovation by Simulation
Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.
B9 L3 R3128
Jan 7 - Jan 1, 2023
Dec 10 - Dec 4, 2022
Dec 3 - Nov 27, 2022
Nov 26 - Nov 20, 2022
Nov 19 - Nov 13, 2022
Nov 12 - Nov 6, 2022
Nov 5 - Oct 30, 2022
Oct 29 - Oct 23, 2022
Oct 22 - Oct 16, 2022
Inference for Longitudinal Data After Adaptive Sampling
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
B9 L2 H2
We used Reinforcement Learning; but did it work?
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
B9 L2 H2
